Kuan‐Ta Chen
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Co-authors
- Chun‐Ying HuangCheng-Hsin HsuChing-Ling FanJean LeeWen-Chih LoChin‐Laung LeiPolly HuangRuck Thawonmas
- Topics
- Image and Video Quality Assessment (9 papers)Peer-to-Peer Network Technologies (6 papers)Advanced Malware Detection Techniques (5 papers)
In The Last Decade
Kuan‐Ta Chen
28 papers receiving 806 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 488
- Signal Processing 278
- Computer Networks and Communications 253
- Sociology and Political Science 160
- Artificial Intelligence 147
Countries citing papers authored by Kuan‐Ta Chen
This map shows the geographic impact of Kuan‐Ta Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuan‐Ta Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan‐Ta Chen more than expected).
Fields of papers citing papers by Kuan‐Ta Chen
This network shows the impact of papers produced by Kuan‐Ta Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kuan‐Ta Chen. The network helps show where Kuan‐Ta Chen may publish in the future.
Co-authorship network of co-authors of Kuan‐Ta Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Ta Chen. A scholar is included among the top collaborators of Kuan‐Ta Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuan‐Ta Chen. Kuan‐Ta Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | 170 | |
| 5 | 1 | |
| 6 | Modeling Exercise Relationships in E-Learning: A Unified Approach. | 28 |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 74 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 9 | |
| 13 | 19 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | 36 | |
| 18 | Identifying MMORPG Bots: A Traffic Analysis Approach (Extended) | 2 |
| 19 | 56 | |
| 20 | 22 |
About Kuan‐Ta Chen
Kuan‐Ta Chen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 30 papers that have together received 844 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (9 papers), Peer-to-Peer Network Technologies (6 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Signal Processing (278 citations), Computer Vision and Pattern Recognition (488 citations) and Human-Computer Interaction (79 citations). Kuan‐Ta Chen has collaborated with scholars based in Taiwan, Slovenia and Japan. Frequent co-authors include Chun‐Ying Huang, Cheng-Hsin Hsu, Ching-Ling Fan, Jean Lee, Wen-Chih Lo, Chin‐Laung Lei, Polly Huang, Ruck Thawonmas, Wen‐Chin Chen and Hsing-Kuo Pao. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Multimedia and Computer Methods and Programs in Biomedicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.